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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration
|
|---|---|
| Published in |
Remote Sensing, July 2019
|
| DOI | 10.3390/rs11151782 |
| Authors |
Matthew Schauer, Gabriel B. Senay |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 31% |
| Mexico | 1 | 3% |
| Belize | 1 | 3% |
| Turkey | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 23 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 67% |
| Scientists | 12 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 11 | 20% |
| Student > Master | 5 | 9% |
| Professor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 16 | 29% |
| Agricultural and Biological Sciences | 8 | 15% |
| Earth and Planetary Sciences | 5 | 9% |
| Engineering | 3 | 5% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2019.
All research outputs
#1,585,154
of 24,605,383 outputs
Outputs from Remote Sensing
#393
of 12,652 outputs
Outputs of similar age
#33,708
of 351,065 outputs
Outputs of similar age from Remote Sensing
#12
of 296 outputs
Altmetric has tracked 24,605,383 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,652 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,065 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.